Assessing Unidimensionality and Differential Item Functioning in Qualifying Examination for Senior Secondary School Students, Osun State, Nigeria
Bibliographic record
Abstract
This study assessed unidimensionality and occurrence of Differential Item Functioning (DIF) in Mathematics andEnglish Language items of Osun State Qualifying Examination. The study made use of secondary data. The resultsshowed that OSQ Mathematics (-0.094 ≤ r ≤ 0.236) and English Language items (-0.095 ≤ r ≤ 0.228) wereunidimensional. Also, there was occurrence of DIF items in both Mathematics and English Language multiple-choiceitems of the OSQE for 2008. Fourteen items representing 28% of the 50 items in the Mathematics examinationexhibited DIF and 10 items, representing 20% of the 50 items in the English Language examination exhibited DIF. Thestudy concluded that the Examination contained considerable number of items that exhibited DIF and thereforerequires adequate item quality improvement to justify its use as the inclusion or exclusion criterion of state candidate inWest African Examination Council.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".